Klarna Bank AB jobb

Klarna, briefly At Klarna, we’re building an everyday finance network, helping over 120 million consumers across 26 countries save time and money, and worry less about their finances. Working here means taking on problems most companies never get to solve, and being hands-on enough that the interesting part of the work lands with you, not someone else — you’ll build with AI, not watch it happen. This is the stretch zone. Come find out what you’re capable of. About the position Klarna’s teams make decisions every day about what to change in checkout, which customers to approve, and where to spend marketing budget. Each of those decisions needs someone who can say what the data shows and how far it can be trusted. As an Analyst, you’ll be that person for the team you join. You’ll start from a business question, find the data that answers it, and bring back a result that someone can act on. What you’ll do You’ll write SQL to answer questions from the teams you support, from a quick count to an analysis across several large tables. You’ll build and maintain dashboards and reports that teams use to track their own metrics. You’ll investigate when a metric moves unexpectedly and report the cause, not only the change. You’ll present findings to product, risk, or business stakeholders and recommend a specific next step. You’ll check data sources for errors and flag quality issues to the teams that own them. You’ll use AI tools in your analysis work and share what works with the people around you. Who you are You’ve spent 1–3 years working as an analyst or in a similar position, turning data into answers that a team acted on. You write SQL regularly to pull, join, and clean data. You’ve built dashboards or reports in a BI tool such as Looker, Tableau, or Power BI. You explain a result, and its limits, in plain language to people who don’t work with data. You check your own numbers before sharing them, and you say so when the data can’t support a conclusion. You ask which decision an analysis is meant to inform before you start building it. Awesome to have You’ve used Python or R for analysis that goes beyond what SQL covers. You’ve designed or analyzed A/B tests. You’ve used AI tools to speed up analysis work, and you can show an example. You’ve worked in payments, banking, or e-commerce. A degree in a numerate subject such as Economics, Statistics, Engineering, or Mathematics. Please include a CV in English. Concrete beats comprehensive — what you built, what it did, what it cost. Curious to learn more about Klarna and what it’s like to work here? Explore our career site: https://www.klarna.com/careers/! Öppen för alla Vi fokuserar på din kompetens, inte dina övriga förutsättningar. Vi är öppna för att anpassa rollen eller arbetsplatsen efter dina behov.

Klarna, briefly Klarna is a global digital bank and payments network. As of our Q1 2026 results: 119 million active consumers, over a million merchants, 26 markets, 3.4 million transactions a day. Listed on the New York Stock Exchange. About the role Being an engineer at Klarna means building and owning the systems that move money for millions of people — and that responsibility doesn't end when those systems ship. Your team and your focus can also change as the business changes, and the domain you join may look different in a year. Either way, this stays a hands-on role: you're still writing code, still making architecture calls, still in the codebase, and your influence comes from the quality of that work and the engineers you work most closely with. We are searching for someone who brings expertise that changes what we are capable of. You've built something we haven't. You've gone deep somewhere we haven't been yet. The engineers here are strong; what they don't have is your specific experience, and that's exactly the gap we're hiring into. What you'll do Make sound, defensible technical decisions, and be able to say clearly what you decided against and why. Think past your own contribution: how it fits the wider architecture, where failures propagate, what breaks first under load, and who feels it downstream. Tie technical choices to business outcomes and size the solution to the problem's actual value - including when the right answer is something small. Design for the constraints that come with being a regulated bank - reliability, auditability, controls - and treat them as part of the engineering problem rather than an obstacle to it. Mentor engineers and raise the technical bar across teams. You act as a multiplier and elevate the people and teams around you, not just your own output. Set the standard for how your domain uses AI in everyday practice - not as a demo, as a working method. Who you are You bring a capability Klarna doesn't have today. Your experience doesn't just improve what's already there - it unlocks something new entirely. You have built and operated systems with real reliability and performance demands at scale, a plus if in Java, JavaScript, or Python environments. You make trade-offs and can articulate the roads not taken. You optimize for business outcomes over engineering elegance, and you know the difference between right-sizing and gold-plating. You explain complex systems clearly to technical and non-technical audiences alike. You lead through your work, not your title. You're comfortable with ambiguity and can move an initiative forward across several teams without formal authority over any of them. You have scar tissue and you talk about it - the incident, the design that didn't survive contact with production, what you changed afterwards. Things you should know before applying Working together: We value co-located teams; most teams currently meet in the office 2–3 days per week, and this varies by team and can change over time. Non-obvious backgrounds are welcome. Diversity of skills, perspectives and backgrounds is how we create, innovate, and disrupt like no other. Final compensation will be based on the candidate's qualifications, skills, and experience. This is a general Lead Engineer opening, not tied to one fixed team. Depending on need at the time of hiring, you could be placed in one of several domains. A domain is a group of teams working on a related set of problems — for example, everything to do with risk, or everything to do with checkout. Please include a CV in English. Concrete beats comprehensive — what you built, what it did, what it cost.

Senior Analyst What you will do As a Senior Analyst at Klarna, you provide analytical and business expertise to ensure we deliver value to customers, Klarna, and our investors. You act as a bridge between models, operations, products, and business decisions, building strategies that connect them across the organization. You play an important part in taking Klarna to the next level, working across sales lifecycle areas, financial planning, and stakeholder communication. You bring a "Swiss army knife" mindset, ready to move between problems and provide data-driven guidance wherever it is needed. Who you are - A degree from a university in a numerate subject, such as Economics, Science, Engineering, or Business - At least 5 years of analytical experience in retail banking, e-commerce, or payments, with knowledge of consumer lending in western countries preferred - Strong general knowledge of the sales lifecycle, with deep expertise in one area such as credit risk, product/UX, marketing analytics, accounting, pricing, or data - Experience supporting sales and marketing efforts, such as merchant sales strategies or campaign impact analysis - Financial analytics experience, including business planning, budgeting, forecasting, and KPI tracking - Strong communication skills, with the ability to engage external stakeholders; merchant-facing experience is a plus - Working proficiency and communication skills in verbal and written English Awesome to have - Strong attention to detail and experience using structured approaches to problem solving - Understanding of regional risk policies and risk profiles, with the ability to suggest or build merchant-specific policy adjustments - Significant drive and ambition - Strong conceptual ability - Familiarity with data extraction and manipulation, and programming languages such as SQL, R, Python, MatLab, Java, or C# Please include a CV in English Curious to learn more about Klarna and what it's like to work here? Explore our career site: https://www.klarna.com/careers/